In tab:semiceleba we conduct a similar experiment on the CelebA [1]} facial dataset, where the the task is to predict 40 different binary labels per datapoint. When evaluating the overall accuracy of predicting all 40 facial attributes, we see no significant difference in performance. However, when we zoom in on specific facial attributes we gain a clear performance advantage over other models.
